Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
[HTML][HTML] A systematic review of machine learning approaches in carbon capture applications
Climate change and global warming are among of the most important environmental issues
and require adequate and immediate global action to preserve the planet for future …
and require adequate and immediate global action to preserve the planet for future …
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hydrogen is a clean and sustainable renewable energy source with significant potential for
use in energy storage applications because of its high energy density. In particular …
use in energy storage applications because of its high energy density. In particular …
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids
This study explores the development of predictive models for carbon dioxide (CO 2)
solubility in ionic liquids based on a compiled dataset of 10,116 experimentally measured …
solubility in ionic liquids based on a compiled dataset of 10,116 experimentally measured …
[HTML][HTML] Prediction the dynamic viscosity of MWCNT-Al2O3 (30: 70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural …
In this study, the prediction of dynamic viscosity (µ nf) of MWCNT-Al 2 O 3 (30: 70)/Oil 5W50
hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of …
hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of …
Development of advanced model for understanding the behavior of drug solubility in green solvents: Machine learning modeling for small-molecule API solubility …
Determination of small-molecule API (Active Pharmaceutical Ingredient) solubility in solvents
is of great importance for drug development in pharmaceutical industry. This study uses …
is of great importance for drug development in pharmaceutical industry. This study uses …
[HTML][HTML] Development of multiple machine-learning computational techniques for optimization of heterogenous catalytic biodiesel production from waste vegetable oil
WK Abdelbasset, SM Elkholi, MJC Opulencia… - Arabian Journal of …, 2022 - Elsevier
Multiple machine learning models were developed in this study to optimize biodiesel
production from waste cooking oil in a heterogenous catalytic reaction mode. Several input …
production from waste cooking oil in a heterogenous catalytic reaction mode. Several input …
[HTML][HTML] Using halloysite nanotubes modified by tetraethylenepentamine for advanced carbon capture: experimental and modeling via RSM and ANNs
Z Khoshraftar, FS Taheri, S Nezami… - Chemical Engineering …, 2023 - Elsevier
In this research, halloysite nanotube was studied as a natural adsorbent for CO 2 capture.
The sorbents were prepared by the impregnation of several amounts of …
The sorbents were prepared by the impregnation of several amounts of …
Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials
LI Weidong, MK Suhayb, L Thangavelu… - Journal of Molecular …, 2022 - Elsevier
Simulation of adsorption capacity of a nanocomposite material was performed in this study
in order to save time and cost in performing adsorption experiments. By develo** the …
in order to save time and cost in performing adsorption experiments. By develo** the …
[HTML][HTML] Predictive modeling and computational machine learning simulation of adsorption separation using advanced nanocomposite materials
Adsorption process was simulated in this study for removal of Hg and Ni from water using
nanocomposite materials. The used nanostructured material for the adsorption study was a …
nanocomposite materials. The used nanostructured material for the adsorption study was a …